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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages
|
|---|---|
| Published in |
BMC Bioinformatics, December 2012
|
| DOI | 10.1186/1471-2105-13-335 |
| Pubmed ID | |
| Authors |
Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Steenhoff, Alain Coletta, Colin Molter, Robin Duque, Virginie de Schaetzen, David Y Weiss Solís, Hugues Bersini, Ann Nowé |
| Abstract |
With an abundant amount of microarray gene expression data sets available through public repositories, new possibilities lie in combining multiple existing data sets. In this new context, analysis itself is no longer the problem, but retrieving and consistently integrating all this data before delivering it to the wide variety of existing analysis tools becomes the new bottleneck. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Italy | 1 | <1% |
| Malaysia | 1 | <1% |
| India | 1 | <1% |
| Belgium | 1 | <1% |
| Ukraine | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 118 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 31% |
| Student > Ph. D. Student | 29 | 22% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 7 | 5% |
| Professor > Associate Professor | 7 | 5% |
| Other | 24 | 19% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 40% |
| Biochemistry, Genetics and Molecular Biology | 25 | 19% |
| Computer Science | 20 | 16% |
| Medicine and Dentistry | 9 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 13 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 December 2018.
All research outputs
#6,220,979
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#2,224
of 7,454 outputs
Outputs of similar age
#63,697
of 286,159 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 126 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.